Online Car-Hailing System Performance Analysis Based on Bayesian Network

Abstract

The concept of the sharing economy has attracted wide attention due to its huge impact on transforming traditional industries. Online car-hailing, combining the sharing economy and ICT technologies, shapes a new landscape, which can greatly shorten the traveler's waiting time and reduce the emptyrun rate of cars (such as Uber and DiDi). However, a few comprehensive studies have been conducted on the sustainable development of online car-hailing considering both the user experience and the operational cost. To address this issue, this paper systematically studies the influencing factors, their relations, and their impacts on online car-hailing in an empirical way. First, an index system in four key aspects, namely service, price, safety, and traveling time, is established to evaluate the user experience. Second, the Bayesian network theory is employed to model the complexity of each factor and the extent of its influence on the online car-hailing system with expert scores. The two most important influence paths affecting the passengers' choices of online car-hailing are determined. Third, we further construct an investment allocation model with the aim of minimizing the economic cost of the online car-hailing system while maintaining the system performance, considering the limiting factors, such as the complexity and cost. Finally, we perform a simulation experiment, which generates some practical suggestions for improving the online car-hailing system.

Performance of Transmit Antenna Selection in Multiple Input Multiple Output-Orthogonal Space Time Block Code (MIMO-OSTBC) System Joint with Bose-Chaudhuri-Hocquenghem (BCH)-Turbo Code (TC) in Rayleigh Fading Channel

“…The index IN of antenna subset along maximum value of received SNR is feedback to the transmitter as given in Eqn. (2). For transmission, the switch at the transmitter side will choose the best possible antenna based upon this feedback.…”

“…MIMO systems can provide a remarkable efficiency gains on conventional single input single-output (SISO) systems. It satisfies to large data rates that require an effective and reliable digital transmission [2]. Multiple RF chains are required for multiple antennas with amplifiers, analog to digital converters, mixers, etc., but they are more expensive [3,4].…”

A Trusted Mobile Ride-Hailing Evaluation System With Privacy and Authentication

“…Driver can identify the current person: The driver can use the QR code to identity whether the current person is his service user. [1][2][3][4][5][6][7][8][9][10][11]. No security channel required: The designed protocol uses a provably secure cryptographic protocol and does not require a security channel.…”

“…In recent years, app-based ride-hailing have become more popular, and users can use apps to call cars at almost any time and place [1]- [4]. Hwang et al [5] described the difference between Uber and taxi and the development and influence of Uber in Taiwan.…”

Data Legal Supervision of Online Car-Hailing Platform Based on Big Data Technology and Edge Computing

“…The introduction of OCH also helped to alleviate some of the short-distance demand for urban traffic and met market demand [4]. OCH provides citizens with a positive service experience, but it also creates a slew of issues and potential safety risks, including passenger deaths, major public safety concerns, potential hitchhiking product safety concerns, a shaky emer-gency management foundation, prominent illegal operation issues, insufficient implementation of the primary responsibility for production safety, serious platform integrity issues, and personal information security leakage [5,6].…”